An Early Warning System for "Direct Farm" Mode Based Agricultural Supply Chain

DOI

10.2991/smont-19.2019.25How to use a DOI?

Keywords

Direct Farm; risk; agricultural products supply chain; Bayesian network

Abstract

The contradiction between the increasing demand for agricultural products and the backward circulation level of agricultural products in China is increasingly obvious. "Direct Farm" brings other potential risks while improving the circulation efficiency of agricultural products. In this context, we developed a risk early warning system of the "Direct Farm" based agricultural supply chain by Bayesian network method. Through the system's forward reasoning and reverse reasoning functions, we can help supply chain managers to forecast and analyze the risks of agricultural supply chain and take timely measures to avoid risks, so as to ensure the stable operation of the "Direct Farm" based agricultural supply chain.

Copyright

© 2019, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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TY  - CONF
AU  - Bo Yang
AU  - Le Xie
PY  - 2019/04
DA  - 2019/04
TI  - An Early Warning System for "Direct Farm" Mode Based Agricultural Supply Chain
BT  - Proceedings of the 2019 International Conference on Modeling, Simulation, Optimization and Numerical Techniques (SMONT 2019)
PB  - Atlantis Press
SP  - 103
EP  - 107
SN  - 1951-6851
UR  - https://doi.org/10.2991/smont-19.2019.25
DO  - 10.2991/smont-19.2019.25
ID  - Yang2019/04
ER  -